Sundayy
Machine Learning Engineer
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About The Company
Waymo is a pioneering autonomous driving technology company dedicated to transforming mobility and enhancing safety on the roads. Originating from the Google Self-Driving Car Project established in 2009, Waymo has continually advanced its mission to become the world's most trusted driver. The company has developed the Waymo Driver—The World's Most Experienced Driver™—which powers its fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads across 15+ U.S. states, Waymo is at the forefront of autonomous vehicle innovation. The company's focus remains on improving access to mobility solutions while significantly reducing traffic-related fatalities through cutting-edge technology and rigorous safety standards.
About The Role
We are seeking a highly skilled and innovative Research Scientist or Software Engineer to join our Dynamic Uncertainty Estimation Machine Learning Core team based in London. This team is instrumental in building scalable machine learning systems, simulation workflows, and insight tools designed to evaluate and enhance the Waymo Driver. The ideal candidate will have a strong background in developing advanced ML techniques, particularly in reinforcement learning, deep learning, and generative models, to improve driving performance and evaluation processes. You will lead efforts to develop and optimize large-scale generative models, implement novel RL algorithms, and contribute to the automation and analysis of self-driving behaviors. Collaborating with cross-functional teams, you will drive innovation that directly impacts the safety, reliability, and efficiency of autonomous driving systems. This role offers a unique opportunity to work at the intersection of machine learning, robotics, and automotive technology, shaping the future of autonomous mobility.
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Qualifications
- M.S. or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
- 7+ years of hands-on experience in developing and applying machine learning models, with a significant focus on reinforcement learning.
- Demonstrated expertise in deep learning, sequence modeling, and generative models.
- Strong publication record or a history of impactful project delivery in RL or related areas.
- Proficiency in Python and standard ML frameworks such as JAX and TensorFlow.
- Experience with large-scale distributed training and data processing.
- Proven ability to lead complex and ambiguous technical projects from conception to completion.
Responsibilities
- Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and insightful driving behaviors.
- Lead the implementation and iteration of novel reinforcement learning algorithms, reward functions, and training paradigms tailored for autonomous driving scenarios.
- Develop advanced deep learning models and generative AI solutions, including large language models (LLMs) and vision-language models (VLMs), to automate workflows and analyze self-driving behaviors for anomalies.
- Oversee the production, evaluation, and optimization of machine learning models deployed across Waymo’s extensive fleet, which travels millions of miles.
- Proactively incorporate best practices from industry and internal sources to develop reinforcement learning from human preferences (RLHF) data collection and evaluation systems.
- Collaborate with teams across Prediction, Planning, Research, and other technical leads to align on strategic initiatives and deliver impactful solutions.
- Monitor model performance, troubleshoot issues, and continuously improve the robustness and accuracy of autonomous systems.
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Benefits
- Competitive salary within the range of £155,000—£163,000 GBP, commensurate with experience and skill level.
- Participation in Waymo’s discretionary annual bonus program.
- Eligibility for equity incentive plans.
- Comprehensive health, dental, and vision insurance packages.
- Generous paid time off and holiday leave.
- Opportunities for professional development and continuous learning.
- Collaborative and innovative work environment with cutting-edge technology.
- Flexible work arrangements and support for work-life balance.
Equal Opportunity
Waymo is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute to our mission of safe and accessible autonomous mobility. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to these factors.
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